[ESIP-all] DataONE Webinar: Make Data (and your repository) Count. Tuesday 12/12
aebudden at dataone.unm.edu
Fri Dec 8 11:55:56 EST 2017
I know many of you will be at the AGU next week but please be reminded of the upcoming DataONE Webinar “Make Data (and Your Repository) Count” presented by Daniella Lowenberg of California Digital Library with a Q&A session to include other members of the Make Data Count team. The webinar will be held on Tuesday December 12th at 0900 Pacific / 1000 Mountain / 1100 Central / 1200 Eastern.
Full information and how to register can be found at: https://www.dataone.org/upcoming-webinar <https://www.dataone.org/upcoming-webinar>. Abstract and bio below.
DataONE webinars are recorded and made available online later the same day. You can review previous webinars at: https://www.dataone.org/previous-webinars/2017 <https://www.dataone.org/previous-webinars/2017>
Usage and citation metrics are essential to gauging reach and measuring the impact of data. Currently, groups are focused on determining best practices in data citation and linking data with publications. However, in order for data to be considered a first class research output, we must also build a common standard to measure how often data is being used. The Make Data Count (MDC) project is funded by the Alfred P. Sloan Foundation to develop and deploy the social and technical infrastructure necessary to elevate data to a firstclass research output alongside more traditional products, such as publications. We plan to do so by finding alternative ways of gauging reach, measuring impact for data, and building data level metrics (DLMs). The MDC project plans to not just focus on citations and usage but also building out a technical hub so that information does not get left behind as it can with article. As the field gets more mature we expect metrics and usage stats to be fed into the DLM hub. To accomplish this we have drafted the first iteration of a COUNTER Code of Practice for Data Usage surrounding data usage statistics for community input. Once this first iteration of standards for data usage has been formalized we will be building out a DLM hub using Lagotto, and enlist the cooperation of the research, library, funder, and publishing stakeholder communities to implement DLMs across DataCite repositories and drive adoption of DLMs.
Daniella has a background in Microbiology and has researched and published on antibiotic resistance at San Francisco Public Health as well as pharmacogenomics pathways for chemotherapy agents at Stanford. Daniella spent over three years as a Publications Manager at PLOS ONE where she implemented and oversaw the PLOS Data Policy as well as ran journal operations. Daniella is currently at the University of California Curation Center (UC3) within the California Digital Library at the Office of the UC President as a Research Data Specialist Dash Product Manager. She focuses on building adoption and awareness of data publication tools (Dash) as well as leading cross-organizational and global efforts in promoting data metrics for the Making Data Count project with DataCite and DataONE.
Amber E Budden, PhD
Director for Community Engagement and Outreach
University of New Mexico
1312 Basehart SE
Albuquerque NM 87106
aebudden at dataone.unm.edu
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